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Whether it’s a powered prosthesis to assist a person who has lost a limb or an independent robot navigating the outside world, we are asking machines to perform increasingly complex, dynamic tasks. But the standard electric motor was designed for steady, ongoing activities like running a compressor or spinning a conveyor belt—even updated designs waste a lot of energy when making more complicated movements.

Researchers at Stanford University have invented a way to augment to make them much more efficient at performing dynamic movements through a new type of actuator, a device that uses energy to make things move. Their actuator, published in Science Robotics, uses springs and clutches to accomplish a variety of tasks with a fraction of the energy usage of a typical electric motor.

“Rather than wasting lots of electricity to just sit there humming away and generating heat, our actuator uses these clutches to achieve the very high levels of efficiency that we see from electric motors in continuous processes, without giving up on controllability and other features that make electric motors attractive,” said Steve Collins, associate professor of mechanical engineering and senior author of the paper.

In a study published in the journal Science Advances, researchers from Peking University have unveiled a miniaturized implantable sensor capable of health monitoring without the need of transcutaneous wires, integrated circuit chips, or bulky readout equipment, thereby reducing infection risks, improving biocompatibility, and enhancing portability. The study is titled “Millimeter-scale magnetic implants paired with a fully integrated wearable device for wireless biophysical and biochemical sensing.”

Nvidia presents Driving Everywhere with Large Language Model Policy Adaptation LLaDA is a simple yet powerful tool that enables human drivers and autonomous vehicles alike to by adapting their tasks and motion plans to traffic rules.

Nvidia presents Driving Everywhere with Large Language Model Policy Adaptation.

LLaDA is a simple yet powerful tool that enables human drivers and autonomous vehicles alike to by adapting their tasks and motion plans to traffic rules.

Paper page: https://huggingface.co/papers/2312.14150)


The process is ludicrously energy intensive, with experts estimating that the industry could soon suck up as much electricity as an entire country.

So it shouldn’t come as a surprise that OpenAI CEO Sam Altman is looking for cheaper alternatives. During a Bloomberg event at the annual World Economic Forum in Davos, Switzerland, the billionaire suggested that the AI models of tomorrow may require even more power — to the degree that they’ll need a whole new power source.

“There’s no way to get there without a breakthrough,” Altman told audiences, as quoted by Reuters. “It motivates us to go invest more in fusion,” adding that we need better ways to store energy from solar power.